Author: P. V. Kalinin, A. A. Sirota (Voronezh State University, Voronezh, Russia)
Optoelectronics, Instrumentation and Data Processing, Volume 48, Issue 6, pp 550–558 (November 2012)
DOI: https://doi.org/10.3103/S8756699012060027
Abstract
Correlations for the lower limit of the estimate error variance of images distorted by additive and applicative noise are obtained. The potential and actual estimate error variances for linear and nonlinear filtering algorithms are analyzed. A combined filtering algorithm for images distorted by applicative noise is developed.
Keywords
Image processing, applicative noise, neural networks
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